IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2017-39-3.html
   My bibliography  Save this article

An Agent-Based Model of Discourse Pattern Formation in Small Groups of Competing and Cooperating Members

Author

Listed:
  • Ismo T. Koponen
  • Maija Nousiainen

Abstract

Discourse patterns in a small group are assumed to form largely through the group's internal social dynamics when group members compete for floor in discourse. Here we approach such discourse pattern formation through the agent-based model (ABM). In the ABM introduced here the agents' interactions and participation in discussions are dependent on the agents' inherent potential activity to participate in discussion and on realised, externalised activity, discursivity. The discourse patterns are assumed to be outcomes of peer-to-peer comparison events, where agents competitively compare their activities and discursivities, and where activities also affect agents' cooperation in increasing the discursivity, i.e. floor for discourse. These two effects and their influence on discourse pattern formation are parameterised as comptetivity and cooperativity. The discourse patterns are here based on the agents' discursivity. The patterns in groups of four agents up to seven agents are characterised through triadic census (i.e. though counting triadic sub-patterns). The cases of low competitivity is shown to give rise to fully connected egalitarian, triadic patterns, which with increasing competitivity are transformed to strong dyadic patterns. An increase in cooperativity enhances the emergence of egalitarian triads and helps to maintain the formation of fully and partially connected triadic pattern also in cases of high competitivity. In larger groups of six and seven agents, isolation becomes common, in contrast to groups of four agents where isolation is relatively rare. These results are in concordance with known empirical findings of discourse and participation patterns in small groups.

Suggested Citation

  • Ismo T. Koponen & Maija Nousiainen, 2018. "An Agent-Based Model of Discourse Pattern Formation in Small Groups of Competing and Cooperating Members," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-1.
  • Handle: RePEc:jas:jasssj:2017-39-3
    as

    Download full text from publisher

    File URL: https://www.jasss.org/21/2/1/1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lipowski, Adam & Lipowska, Dorota, 2012. "Roulette-wheel selection via stochastic acceptance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2193-2196.
    2. André Grow & Andreas Flache & Rafael Wittek, 2015. "An Agent-Based Model of Status Construction in Task Focused Groups," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-4.
    3. Zafeiris, Anna & Koman, Zsombor & Mones, Enys & Vicsek, Tamás, 2017. "Phenomenological theory of collective decision-making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 287-298.
    4. Caram, L.F. & Caiafa, C.F. & Proto, A.N. & Ausloos, M., 2010. "Dynamic peer-to-peer competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2628-2636.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ormazábal, Ignacio & Borotto, Félix A. & Astudillo, Hernán F., 2021. "An agent-based model for teaching–learning processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    2. Philippe Collard, 2022. "The “flat peer learning” agent-based model," Journal of Computational Social Science, Springer, vol. 5(1), pages 161-187, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Jiuhua & Liu, Qipeng & Wang, Lin & Wang, Xiaofan, 2017. "Competitive seeds-selection in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 240-248.
    2. Chen, Enming & Zhou, Zhongbao & Li, Ruiyang & Chang, Zhongxiang & Shi, Jianmai, 2024. "The multi-fleet delivery problem combined with trucks, tricycles, and drones for last-mile logistics efficiency requirements under multiple budget constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    3. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    4. Andrés Alfonso Rosales-Muñoz & Luis Fernando Grisales-Noreña & Jhon Montano & Oscar Danilo Montoya & Alberto-Jesus Perea-Moreno, 2021. "Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Direct Current Electrical Networks," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    5. Tungom, Chia E. & Wang, Hong & Beata, Kamuya & Niu, Ben, 2024. "SWOAM: Swarm optimized agents for energy management in grid-interactive connected buildings," Energy, Elsevier, vol. 301(C).
    6. Xianbo Xiang & Caoyang Yu & He Xu & Stuart X. Zhu, 2018. "Optimization of Heterogeneous Container Loading Problem with Adaptive Genetic Algorithm," Complexity, Hindawi, vol. 2018, pages 1-12, November.
    7. Hu, Yusha & Li, Jigeng & Hong, Mengna & Ren, Jingzheng & Lin, Ruojue & Liu, Yue & Liu, Mengru & Man, Yi, 2019. "Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process," Energy, Elsevier, vol. 170(C), pages 1215-1227.
    8. Mehmet Burak Şenol & Ekrem Alper Murat, 2023. "A sequential solution heuristic for continuous facility layout problems," Annals of Operations Research, Springer, vol. 320(1), pages 355-377, January.
    9. Reza Ghanbari & Khatere Ghorbani-Moghadam & Nezam Mahdavi-Amiri, 2021. "A time variant multi-objective particle swarm optimization algorithm for solving fuzzy number linear programming problems using modified Kerre’s method," OPSEARCH, Springer;Operational Research Society of India, vol. 58(2), pages 403-424, June.
    10. Ahmed A. Ewees & Mohammed A. A. Al-qaness & Laith Abualigah & Diego Oliva & Zakariya Yahya Algamal & Ahmed M. Anter & Rehab Ali Ibrahim & Rania M. Ghoniem & Mohamed Abd Elaziz, 2021. "Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model," Mathematics, MDPI, vol. 9(18), pages 1-22, September.
    11. Liu, Wenqian & Ke, Ginger Y. & Chen, Jian & Zhang, Lianmin, 2020. "Scheduling the distribution of blood products: A vendor-managed inventory routing approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    12. Reza Moasheri & Mohammadreza Jalili-Ghazizadeh, 2020. "Locating of Probabilistic Leakage Areas in Water Distribution Networks by a Calibration Method Using the Imperialist Competitive Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 35-49, January.
    13. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    14. Shugang Li & Yanfang Wei & Xin Liu & He Zhu & Zhaoxu Yu, 2022. "A New Fast Ant Colony Optimization Algorithm: The Saltatory Evolution Ant Colony Optimization Algorithm," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    15. Zaidi, I. & Oulamara, A. & Idoumghar, L. & Basset, M., 2024. "Minimizing grid capacity in preemptive electric vehicle charging orchestration: Complexity, exact and heuristic approaches," European Journal of Operational Research, Elsevier, vol. 312(1), pages 22-37.
    16. Baowei Wang & Peng Zhao, 2020. "An Adaptive Image Watermarking Method Combining SVD and Wang-Landau Sampling in DWT Domain," Mathematics, MDPI, vol. 8(5), pages 1-20, May.
    17. William Ampomah & Robert S. Balch & Reid B. Grigg & Brian McPherson & Robert A. Will & Si‐Yong Lee & Zhenxue Dai & Feng Pan, 2017. "Co‐optimization of CO 2 ‐EOR and storage processes in mature oil reservoirs," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 128-142, February.
    18. Shugang Li & Hui Chen & Xin Liu & Jiayi Li & Kexin Peng & Ziming Wang, 2023. "Online Personalized Learning Path Recommendation Based on Saltatory Evolution Ant Colony Optimization Algorithm," Mathematics, MDPI, vol. 11(13), pages 1-19, June.
    19. Vitanov, Nikolay K. & Dimitrova, Zlatinka I. & Ausloos, Marcel, 2010. "Verhulst–Lotka–Volterra (VLV) model of ideological struggle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4970-4980.
    20. Fathy, Ahmed, 2022. "A novel artificial hummingbird algorithm for integrating renewable based biomass distributed generators in radial distribution systems," Applied Energy, Elsevier, vol. 323(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2017-39-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.